Real-Time Speech-to-Speech Translation ML Researcher

. Apple (UK) Limited; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple (UK) Limited seeks engineers and scientists to build next-generation speech-to-speech translation technology for real-time multilingual communication. Join a team solving end-to-end models that listen, translate and speak with low latency and natural output.

The role emphasizes collaboration with researchers, engineers and designers to deploy technology that reaches millions of customers worldwide.

Qualifications

• M.S. or PhD in Computer Science or a related field.
• Experience with machine learning for speech recognition, machine translation, NLP or speech synthesis.
• Hands-on experience with deep learning toolkits such as PyTorch, JAX or TensorFlow.

Responsibilities

• Have a significant impact by shipping speech-to-speech translation technology to millions of real-world users.
• Enable users to communicate seamlessly across languages, in conversation, on calls and through their devices.
• Address practical problems of real-time translation at scale: translation quality, latency and streaming, expressive speech output, robustness to real-world audio, and evaluation that reflects user experience.

Skills

Machine learning for speech

NLP

Deep learning frameworks

Education

MS/PhD in Computer Science or related field

Tools

PyTorch

JAX

TensorFlow

Job description

Apple (UK) Limited seeks engineers and scientists to build next-generation speech-to-speech translation technology for real-time multilingual communication. Join a team solving end-to-end models that listen, translate and speak with low latency and natural output.

The role emphasizes collaboration with researchers, engineers and designers to deploy technology that reaches millions of customers worldwide.